Paper Info
Title
Cluster Analysis of Finger-to-nose Test for Spinocerebellar Ataxia Assessment
Abstract
The Finger-to-nose test (FNT) is an accepted neurological evaluation to study the coordination conditions. In this work, a methodology for the analysis of data from FNT is proposed, aimed at assessing the evolution of the condition of Spinocerebellar Ataxia type 2 (SCA2) patients. First of all, test results obtained from both patients and healthy individuals are processed through principal component analysis in order to reduce data dimensionality. Next, data were grouped in order to determine classes of typical responses. The Mean Shift algorithm was used to perform an unsupervised clustering with no previous assumption on the number of clusters, whereas the k-means method provided an independent validation on the optimal cluster number. Experimental results showed the highest internal evaluation for distribution into three clusters, which could be identified as the responses of healthy subjects, SCA2 patients with medium incoordination level, and patients with severe incoordination. A membership function is defined, which allows to establish the subjects' condition based on the classification of their responses. The results support that these protocols and the implemented clustering procedure can be used to accurately evaluate the incoordination stages of healthy subjects and SCA2 patients, thus offering a method to assess the impact of therapies and the progression of incoordination.
Year
DOI
Venue
2015
10.1007/978-3-319-19222-2_44
ADVANCES IN COMPUTATIONAL INTELLIGENCE, PT II
Keywords
Field
DocType
Finger-to-nose test,Cluster analysis,Incoordination assessment,NeuroScreening Coordination
Data analysis,Pattern recognition,Computer science,Determining the number of clusters in a data set,Curse of dimensionality,Artificial intelligence,Mean-shift,Cluster analysis,Membership function,Spinocerebellar ataxia,Machine learning,Principal component analysis
Conference
Volume
ISSN
Citations 
9095
0302-9743
1
PageRank 
References 
Authors
0.38
7
7
Name
Order
Citations
PageRank
Michel Velázquez-Mariño172.43
Miguel A. Hernandez Ruiz217020.73
Rodolfo García-Bermúdez341.20
Daniel Pupo-Ricardo410.72
Roberto Becerra-García540.86
Luís Velázquez Pérez610.38
Francisco Sandoval723722.18